About the course
This is a comprehensive Deep Learning program designed to take learners from foundational concepts to advanced applications. The course covers preliminary machine learning concepts, deep learning architectures (ANN, CNN, RNN, LSTM, GRU, Transformers), optimization techniques, regularization, hyperparameter tuning, and specialized applications such as image processing, NLP, generative AI, time series forecasting, and recommender systems. Learners will also complete a capstone project and a final evaluation to consolidate their knowledge.





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